Research Team
Michael V. Heinz, MD
Michael V. Heinz, MD
Postdoctoral Fellow, Artificial Intelligence and Mental Health: Innovation in Technology Guided Healthcare Lab at Dartmouth, Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth
Dr. Michael V. Heinz is a postdoctoral fellow at the Artificial Intelligence and Mental Health Lab at the Dartmouth College Center for Technology and Behavioral Health. Under the primary mentorship of Dr. Nicholas C. Jacobson, Dr. Heinz is interested in the development of scalable, digital technologies toward assessment and treatment of mental health disorders. He is currently working on an NIH-funded study that uses wearable passive sensors to understand individual and temporal variability in Major Depressive Disorder, as well as on development of an AI-driven therapist (Therabot) presently undergoing its first clinical trial. Dr. Heinz is also a practicing, board-certified adult psychiatrist at Dartmouth-Hitchcock Medical Center and Hanover Psychiatry, specializing in the treatment of mood and anxiety disorders.
In his free time, Dr. Heinz enjoys distance trail running and creating intricate Halloween displays.
Selected Publications
- Heinz MV, Thomas NX, Nguyen ND, Griffin TZ, Jacobson NC. Technological advances in clinical assessment. In: Asmundson GJG, editor. Comprehensive clinical psychology. 2nd edition. Elsevier: 2022. p. 301-320. ISBN 9780128222324. View Source
- Heinz MV, Price GD, Ruan F, Klein RJ, Nemesure M, Lopez A, Jacobson NC. Association of selective serotonin reuptake inhibitor use with abnormal physical movement patterns as detected using a piezoelectric accelerometer and deep learning in a nationally representative sample of noninstitutionalized persons in the US. JAMA Netw Open. 2022 Apr 1;5(4):e225403. doi: 10.1001/jamanetworkopen.2022.5403. PMID: 35389502. View Source
- Jacobson NC, Yom-Tov E, Lekkas D, Heinz M, Liu L, Barr PJ. Impact of online mental health screening tools on help-seeking, care receipt, and suicidal ideation and suicidal intent: Evidence from internet search behavior in a large U.S. cohort. J Psychiatr Res. 2022 Jan;145:276-283. doi: 10.1016/j.jpsychires.2020.11.010. PMID: 33199054; PMCID: PMC8106691. View Source
- Nemesure MD, Heinz MV, Huang R, Jacobson NC. Predictive modeling of depression and anxiety using electronic health records and a novel machine learning approach with artificial intelligence. Sci Rep. 2021 Jan 21;11(1):1980. doi: 10.1038/s41598-021-81368-4. PMID: 33479383; PMCID: PMC7820000. View Source
- Jacobson N, Lekkas D, Price G, Heinz MV, Song M, O'Malley AJ, Barr PJ. Flattening the mental health curve: COVID-19 stay-at-home orders are associated with alterations in mental mealth search behavior in the United States. JMIR Ment Health. 2020 May 26. doi: 10.2196/19347. PMID: 32459186. PMCID: PMC7265799. View Source
- Meng X, Heinz MV, Ganoe CH, Sieberg RT, Cheung YY, Hassanpour S. Understanding urgency in radiology reporting: Identifying associations between clinical findings in radiology reports and their prompt communication to referring physicians. Stud Health Technol Inform. 2019 Aug 21;264:1546-1547. doi: 10.3233/SHTI190527. PMID: 31438224. View Source